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Reweighting samples under covariate shift using a Wasserstein distance
  criterion

Reweighting samples under covariate shift using a Wasserstein distance criterion

19 October 2020
J. Reygner
A. Touboul
ArXivPDFHTML

Papers citing "Reweighting samples under covariate shift using a Wasserstein distance criterion"

7 / 7 papers shown
Title
Explaining the Success of Nearest Neighbor Methods in Prediction
George H. Chen
Devavrat Shah
OOD
251
146
0
21 Feb 2025
Measure estimation on manifolds: an optimal transport approach
Measure estimation on manifolds: an optimal transport approach
Vincent Divol
OT
88
21
0
15 Feb 2021
Nearest Neighbor-based Importance Weighting
Nearest Neighbor-based Importance Weighting
Marco Loog
62
37
0
03 Feb 2021
Global sensitivity analysis for stochastic simulators based on
  generalized lambda surrogate models
Global sensitivity analysis for stochastic simulators based on generalized lambda surrogate models
Xujia Zhu
Bruno Sudret
76
37
0
04 May 2020
Sharp asymptotic and finite-sample rates of convergence of empirical
  measures in Wasserstein distance
Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance
Jonathan Niles-Weed
Francis R. Bach
115
417
0
01 Jul 2017
Rates of convergence for robust geometric inference
Rates of convergence for robust geometric inference
Frédéric Chazal
P. Massart
Bertrand Michel
89
34
0
28 May 2015
On the rate of convergence in Wasserstein distance of the empirical
  measure
On the rate of convergence in Wasserstein distance of the empirical measure
N. Fournier
Arnaud Guillin
104
1,138
0
07 Dec 2013
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